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Field
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-motivated person to lead OME initiatives designed to advance knowledge of the role of advanced data systems (e.g. Artificial Intelligence (AI), Virtual Reality (VR)) in public health applications and
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professional deliverables ● Experience with causal inference, machine learning, and artificial intelligence is desirable ● Experience with clinical, EHR, or biobank data analyses is desirable
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: Artificial Intelligence / Machine Learning Knowledge Representation and NLP methods Clinical Informatics Bioinformatics Biomedical Ontology Public Health Informatics Nursing Informatics Imaging Informatics
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wildfire simulation, fuel modeling, remote sensing, data-driven methods, artificial intelligence, and real-time applications. The successful candidates will contribute to the development of faster than real
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Undergraduate, Master and Graduate students at the George Washington University School of Medicine and Health Sciences. The laboratory of Dr. Brett Shook investigates communication between skin resident cells and
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on Alcohol Abuse and Alcoholism (NIAAA ) National Institute of Allergy and Infectious Diseases (NIAID ) National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS ) National Institute
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into their associated skin pathologies including device insertion site injury, device material composition, drug delivery preservatives and adhesives. As the focus is on a drug delivery system, the candidate must have
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 18 days ago
Experience Requirements Applicants should have (or expect to receive before the start of the position) a PhD in Computer Science or EE/ECE on a topic in machine learning, artificial intelligence, natural
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biology. You will join a NIH-funded multi-institutional collaborative team focused on the roles of physiological aryl hydrocarbon receptor (AHR) ligands in skin formation and function. Preference will be
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
the ability to design and implement novel artificial intelligence algorithms. Examples of research directions could include: multimodal foundational models for biomedical data, deep-learning architectures